Design scalable AI-enabled marketing solutions by analyzing workflows, mapping current-state operations, defining data pipelines and integrations, selecting AI vendors, and ensuring security, governance, and enterprise alignment for MarTech AI deployments.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Our client is a global enterprise investing heavily in AI-driven marketing transformation. They are modernizing their MarTech ecosystem by embedding Generative AI and intelligent automation into core marketing operations, enabling scalable, secure, and data-driven customer engagement across the organization.
What You’ll Do- Analyze end-to-end marketing workflows, business processes, and cross-functional data flows to identify automation and AI enablement opportunities.
- Map current-state marketing operations, uncover bottlenecks, and design scalable AI-enabled business solutions.
- Partner with AI/ML Engineering, Data Engineering, Enterprise Architecture, IT, and business stakeholders to align AI initiatives with enterprise standards.
- Translate marketing business requirements into solution architecture, ensuring seamless integration with enterprise AI platforms.
- Drive the integration of AI agents, Generative AI tools, and third-party AI platforms into the organization's MarTech ecosystem.
- Review solution architectures, data flow diagrams, interface specifications, and technical designs to ensure scalability, governance, and enterprise alignment.
- Collaborate with Data Engineering teams to define efficient data pipelines, API requirements, and integration patterns supporting AI-powered marketing workflows.
- Define infrastructure requirements for AI services, including model hosting, orchestration, vector databases, storage, monitoring, and observability.
- Establish performance expectations for AI services, including scalability, availability, resilience, throughput, and latency.
- Lead technical evaluations of AI vendors and platforms, providing recommendations on build-versus-buy decisions.
- Ensure AI solutions comply with enterprise security, privacy, governance, and regulatory requirements.
- Partner with Security, Legal, Compliance, and Procurement teams during solution evaluations and vendor onboarding.
- Represent Marketing in enterprise architecture discussions, AI governance forums, and cross-functional planning initiatives.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field (Master's degree preferred), or equivalent experience.
- Solid, senior-level experience in Solution Architecture, Enterprise Architecture, Business Architecture, or related technical consulting roles.
- Strong understanding of enterprise marketing operations, MarTech ecosystems, and business process optimization.
- Experience designing enterprise-scale AI, automation, or digital transformation solutions.
- Solid knowledge of modern AI technologies, including Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), recommendation engines, AI agents, and workflow orchestration.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
- Strong understanding of APIs, system integrations, enterprise application architecture, and data management principles.
- Knowledge of enterprise security, privacy, governance, compliance, and AI risk management practices.
- Proven ability to translate business requirements into scalable technical solutions.
- Excellent communication and stakeholder management skills, with experience working across business and technical teams.
- Experience evaluating enterprise software vendors and conducting technical due diligence.
- Experience implementing AI solutions within Marketing, Customer Experience, or Digital Transformation initiatives.
- Familiarity with enterprise architecture frameworks such as TOGAF.
- Experience working with vector databases, AI observability platforms, or model management solutions.
- Cloud certifications (Azure, AWS, or GCP).
- AI-related certifications or enterprise architecture certifications.
Upper-Intermediate
Legal & Hiring Information- Compensation Transparency: The expected compensation range for this role is $125-145 USD hr. Actual compensation will be determined based on experience, skills, qualifications, geographic location, and business needs.
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
- Privacy Notice: Applicant data will be collected and processed in accordance with applicable state privacy laws, including the California Consumer Privacy Act (CCPA) where applicable.
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
- The offer is not binding until a signed contract is in place.
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Similar Jobs
Yesterday
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manages, investigates, evaluates, negotiates, and resolves attorney-represented auto and homeowners bodily injury claims. Responsibilities include assessing coverage, liability, damages, reserves, fraud referrals, subrogation opportunities, litigation preparation, trial coordination, counsel management, policyholder and claimant communication, financial processing security, and claims-file reporting. Requires knowledge of insurance coverage, legal liability, state tort law, negotiation, investigation, and applicable licensing.
Fintech • Machine Learning • Payments • Software • Financial Services
Leads product management for Capital One’s Anti-Money Laundering risk platform. Responsibilities include launching regulatory-compliance features, partnering with data and technology teams, using AI tools for product discovery and delivery, developing the product roadmap, and driving a multi-year enterprise risk management transformation. The role requires cross-functional leadership, customer-focused product development, business and technology strategy, integrated problem-solving, and risk mitigation.
Top Skills:
Anti-Money Laundering (Aml)Artificial Intelligence (Ai)
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Provide assistant controller-level outsourced accounting support for healthcare clients: manage financial reporting, general ledger accuracy, month-end close, prepare reporting packages and KPIs, maintain procedures, review balance sheets and workpapers, coordinate projects, and supervise/account for assigned accountants to meet client needs and budgets.
Top Skills:
Accounting SoftwareMicrosoft Office Suite
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
